This post explains the critical knowledge prioritization assessment, a step-by-step exercise a manufacturer can use for ranking undocumented knowledge by risk to learn where to direct capture efforts first.
This post introduces a prioritization tool that helps manufacturers identify and rank which critical knowledge to capture before it is lost
This post examines tribal knowledge, the unwritten expertise that keeps manufacturing operations running, why it resists capture, and what manufacturers stand to lose when it exits with experienced workers.
This post covers Communities of Practice, how they sustain knowledge after formal capture efforts conclude, and why MDPI research links active knowledge-sharing communities to measurable gains in productivity and job satisfaction.
This post introduces the SECI model and explains how it describes the movement of knowledge between people and systems in a manufacturing environment.